An application of artificial neural networks in evaluating business ethics: an exploratory study

2002 ◽  
Author(s):  
M.A. Mahmood ◽  
G.L. Sullivan ◽  
Ray-Lin Tung
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Business Ethics ◽  
Exploratory Study ◽  
Artificial Neural

Exploratory study of the effect of binaural beat stimulation on the EEG activity pattern in resting state using artificial neural networks

2019 ◽  
Vol 54 ◽  
pp. 1-20 ◽  
Author(s):  
Maurício da Silva Junior ◽  
Rafaela Covello de Freitas ◽  
Wellington Pinheiro dos Santos ◽  
Washington Wagner Azevedo da Silva ◽  
Marcelo Cairrão Araújo Rodrigues ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Resting State ◽  
Activity Pattern ◽  
Exploratory Study ◽  
Eeg Activity ◽  
Artificial Neural

A New Approach to Evaluating Business Ethics

2011 ◽  
pp. 23-39
Author(s):  
Mo Adam Mahmood ◽  
Gary L. Sullivan ◽  
Ray-Lin Tung
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Business Ethics ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Exploratory Research ◽  
Multiple Discriminant Analysis ◽  
Comparative Performance ◽  
New Approach ◽  
Artificial Neural

Stimulated by recent high-profile incidents, concerns about business ethics have increased over the last decade. In response, research has focused on developing theoretical and empirical frameworks to understand ethical decision making. So far, empirical studies have used traditional quantitative tools, such as regression or multiple discriminant analysis (MDA), in ethics research. More advanced tools are needed. In this exploratory research, a new approach to classifying, categorizing and analyzing ethical decision situations is presented. A comparative performance analysis of artificial neural networks, MDA and chance showed that artificial neural networks predict better in both training and testing phases. While some limitations of this approach were noted, in the field of business ethics, such networks are promising as an alternative to traditional analytic tools like MDA.

A New Approach to Evaluating Business Ethics

2002 ◽  
pp. 334-350
Author(s):  
Mo Adam Mahmood ◽  
Gary L. Sullivan ◽  
Ray-Lin Tung
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Business Ethics ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Exploratory Research ◽  
Multiple Discriminant Analysis ◽  
Comparative Performance ◽  
New Approach ◽  
Artificial Neural

Stimulated by recent high-profile incidents, concerns about business ethics have increased over the last decade. In response, research has focused on developing theoretical and empirical frameworks to understand ethical decision making. So far, empirical studies have used traditional quantitative tools, such as regression or multiple discriminant analysis (MDA), in ethics research. More advanced tools are needed. In this exploratory research, a new approach to classifying, categorizing and analyzing ethical decision situations is presented. A comparative performance analysis of artificial neural networks, MDA and chance showed that artificial neural networks predict better in both training and testing phases. While some limitations of this approach were noted, in the field of business ethics, such networks are promising as an alternative to traditional analytic tools like MDA.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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